Development of a Fuzzy Inference Model for the Management of a Marine Engine

The paper presents the results of the research concerning development of a fuzzy inference system to determine the current state of marine engine based on criteria established by the manufacturer. The practical implementation of the proposed model has been carried out for marine engine Wartsila 6L46C, which is one of the most used types of current marine engines. Implementation of the fuzzy inference system was performed based on R software using Mamdani inference algorithm. The gaussian and triangular membership functions were used for input and output variables respectively during the simulation process. The results of the simulation have shown that value of the output parameter (technical state of engine) was changed within the range from 0.15 to 0.893 during variation of the input parameters from minimal to maximal values. This fact indicates the adequate of the proposed fuzzy inference system operation.